Hui Chen
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- COVID-19 Clinical Research Studies
- Health Informatics top 5%
Papers in
-
- Machine Learning in Healthcare 11
- Topic Modeling 7
-
- HIV/AIDS Research and Interventions 9
- Co-authors
- Chao Tan (10 shared papers)Yan Xu (5 shared papers)Zan Lin (7 shared papers)Xiaojie Huang (14 shared papers)Gang Ma (14 shared papers)Kuan Zhang (5 shared papers)Ni Wang (12 shared papers)Xiaoxi Lin (14 shared papers)
- Journals
- Scientific Reports (6 papers)BMC Infectious Diseases (5 papers)BMC Cardiovascular Disorders (4 papers)Medicine (4 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hui Chen
216 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 176
- Infectious Diseases 411
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 371
- Virology 75
- Cardiology and Cardiovascular Medicine 237
Countries citing papers authored by Hui Chen
This map shows the geographic impact of Hui Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Chen more than expected).
Fields of papers citing papers by Hui Chen
This network shows the impact of papers produced by Hui Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui Chen. The network helps show where Hui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2014 | 60 | |
| 3 | 2012 | 55 | |
| 4 | 2020 | 54 | |
| 5 | 2018 | 52 | |
| 6 | 2020 | 50 | |
| 7 | 2021 | 50 | |
| 8 | 2018 | 50 | |
| 9 | 2018 | 50 | |
| 10 | 2019 | 48 | |
| 11 | 2010 | 47 | |
| 12 | 2019 | 46 | |
| 13 | 2014 | 44 | |
| 14 | 2013 | 40 | |
| 15 | 2020 | 36 | |
| 16 | 2013 | 36 | |
| 17 | 2013 | 35 | |
| 18 | 2022 | 35 | |
| 19 | 2018 | 35 | |
| 20 | 2013 | 34 |
About Hui Chen
Hui Chen is a scholar working on Artificial Intelligence, Infectious Diseases, Surgery, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 235 papers that have together received 2.7k indexed citations. Recurring topics across this work include Vascular Malformations and Hemangiomas (16 papers), Spectroscopy and Chemometric Analyses (11 papers), Machine Learning in Healthcare (11 papers), HIV Research and Treatment (11 papers), HIV/AIDS Research and Interventions (9 papers), Advanced Vision and Imaging (8 papers), Topic Modeling (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Infectious Diseases (411 citations), Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (371 citations), Virology (75 citations) and Cardiology and Cardiovascular Medicine (237 citations). Hui Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chao Tan, Yan Xu, Zan Lin, Xiaojie Huang, Gang Ma, Kuan Zhang, Ni Wang, Xiaoxi Lin, Yunbo Jin and Binrong Ma. Their work appears in journals such as Scientific Reports, BMC Infectious Diseases, BMC Cardiovascular Disorders, Medicine and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.